15 citations as recorded by crossref.

1. Drought propagation in karst and non-karst regions in Southwest China compared on a daily scale P. Shi et al. 10.1016/j.ejrh.2023.101628
2. Correlation Analysis of Vertical Ground Movement and Climate Using Sentinel-1 InSAR F. Pirotti et al. 10.3390/rs16224123
3. Forecasting land surface drought in urban environments based on machine learning model J. Chen & H. Zheng 10.1016/j.scs.2024.106048
4. How abrupt changes in surface temperature impacts water cycle over France? The case study of winter bread wheat area. L. Laurent et al. 10.1016/j.totert.2023.100079
5. Applying an Analytic Hierarchy Process and a Geographic Information System for Assessment of Land Subsidence Risk Due to Drought: A Case Study in Ca Mau Peninsula, Vietnam D. Tri et al. 10.3390/su16072920
6. Machine learning-based techniques for land subsidence simulation in an urban area J. Liu et al. 10.1016/j.jenvman.2024.120078
7. Development of Divergence and Interdependence-based Hybrid Weighting Scheme (DIHWS) for accurate assessment of regional drought A. Mukhtar et al. 10.1007/s00704-024-05018-1
8. Regional climate warming increases occurrence and intensity of winter wheat drought risk L. Laurent et al. 10.1016/j.agrformet.2025.110493
9. Assessing the economic impact of droughts in Europe in a changing climate: A multi-sectoral analysis at regional scale C. Motta et al. 10.1016/j.ejrh.2025.102296
10. Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran H. Gharechaee et al. 10.3390/land12040843
11. Changing Conditions: Global Warming-Related Hazards and Vulnerable Rural Populations in Mediterranean Europe S. Graus et al. 10.3390/urbansci8020042
12. A new approach for drought index adjustment to clay-shrinkage-induced subsidence over France: advantages of the interactive leaf area index S. Barthelemy et al. 10.5194/nhess-24-999-2024
13. Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data G. Ecoto et al. 10.1007/s00180-024-01549-3
14. Application of machine learning methods to predict drought cost in France A. Heranval et al. 10.1007/s13385-022-00327-z
15. Disentangling Shallow Subsidence Sources by Data Assimilation in a Reclaimed Urbanized Coastal Plain, South Flevoland Polder, the Netherlands M. Verberne et al. 10.1029/2022JF007031